Technical Architect – Big Data Ecosystem (Chengdu)

  • Competitive
  • Sydney, New South Wales, Australia
  • Permanent, Full time
  • ANZ
  • 23 Mar 19

Technical Architect – Big Data Ecosystem (Chengdu)

Technical Architect – Big Data Ecosystem (Chengdu)

An exciting opportunity has just come for you to join ANZ as Big Data Technical Manager, Big Data Technical Architect.

  • Role to be based in Chengdu
    Advanced skills/experience designing enterprise-class software solutions using Java
  • Advanced skills/experience in database systems or data warehousing, data analysis, ETL, MI/BI, solutions development
  • Deep subject-matter expertise on Big Data (Hadoop) platform
  • Contribute to the Bank’s Regional goal

Role Overview

ANZ is one of Australia’s leading banks. ANZ Technology Chengdu is creating a next generation Big Data Ecosystem to unlock the power of ANZ’s data through advanced analytics and insights.

The Big Data Ecosystem includes the big data platform, the analytics and visualization tools used for Artificial Intelligence/Machine Learning/Data Mining, the data integration/ETL frameworks and operational banking products/solutions which utilise the technology.

ANZ is seeking an experienced technical architect to define and drive the architecture of its Big Data Ecosystem, from data acquisition through to consumption. The technical architect will define the overall architecture, plan the architectural runway to support upcoming initiatives, design/evaluate solutions and provide technical expertise to engineering teams.

About You

To be successful in this role, you will ideally bring the following:

  • 8 years’ overall experience working on enterprise-class data solutions
  • Advanced skills/experience in database systems or data warehousing, data analysis, ETL, MI/BI, solutions design
  • Advanced skills/experience designing enterprise-class software solutions using Java
  • Strong written and verbal communication skills - the ability to communicate complex concepts to non-technical stakeholders
  • Innovative problem-solving skills
  • Broad source system knowledge, including Mainframe and non-Mainframe
  • 3 years’ experience and deep subject-matter expertise on Big Data (Hadoop) platform – preferable Cloudera stack (HDFS, Spark, Hive/Impala, YARN, HBase, Zookeeper, Solr, Kafka, Flume, Oozie)
  • Advanced skills in at least 2 of:
    • Devops techniques and tools; CI/CD, Atlassian suite(JIRA, Bamboo, Confluence, Bitbucket), Cucumber, Junit, Test Automation, Configuration management
    • Data Science tools (Python-based frameworks/libraries, R, Matlab etc)
    • ETL tools (e.g. IBM DataStage, Ab Initio, etc)
    • Data modelling and data visualisation tools and techniques
    • Cloudera Data Science Workbench (CDSW) or Trifacta Data Wrangler

  • Cloud architectures and solutions
  • Experience working in Agile environments
  • Banking products and services

About ANZ

ANZ is a leading regional bank with representation in 34 markets, focusing on core markets in Australia, New Zealand and Asia Pacific. As we continue our journey to build our global business and support our customers, we’re committed to attracting and retaining the best talent. We’ve made it our business to be an organisation where people strive, and are rewarded, for excellence.

ANZ Chengdu Chengdu Service was established in Tianfu Software Park in 2010 at Chengdu, Sichuan province, China. Over the past 5 years, we have achieved significant growth. We now provide a range of complex services, including analytics, operations and technology, to ANZ businesses across the globe. With English and Asian language capabilities, Chengdu Hub is playing an important role in supporting ANZ’s continued expansion and growth in Asia as well as all the other markets ANZ operates in.

We’re exploring new and better ways to progress the business with energy and enthusiasm. Backed by a proud and established heritage, we’re on a journey creating a regional bank. Connected by integrity and clarity of strategy, there is a real sense of excitement about the future.

At ANZ we aim to create a work environment where employee differences such as gender, age, culture, disability, sexual orientation, family and caring responsibilities and religion are valued.

Find out more about working at ANZ or to view other opportunities visit .

You may apply for this role by visiting ANZ Careers and search for reference AUS062667